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  • × year_i:[2020 TO 2030}
  1. Hutchinson, J.; Nakatomi, J.: Improving subject description of an LGBTQ+ collection (2024) 0.13
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    Abstract
    This article summarizes the work done as part of a project to improve subject description of an LGBTQ + collection in the ONE Archives, part of the University of Southern California (USC) Libraries. The project involved adding local subject headings to augment existing Library of Congress Subject Headings. The article describes the steps that the project team took, along with the methods that were rejected. The paper discusses reasons why the team chose their course of action.
  2. Zimmerman, N.: User study: implementation of OCLC FAST subject headings in the Lafayette digital repository (2023) 0.12
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    Abstract
    Digital repository migrations present a periodic opportunity to assess metadata quality and to perform strategic enhancements. Lafayette College Libraries implemented OCLC FAST (Faceted Application of Subject Terminology) for its digital image collections as part of a migration from multiple repositories to a single one built on the Samvera Hyrax open-source framework. Application of FAST has normalized subject headings across dissimilar collections in a way that tremendously improves descriptive consistency for staff and discoverability for end users. However, the process of applying FAST headings was complicated by several features of in-scope metadata as well as gaps in available controlled subject authorities.
    Footnote
    Beitrag in Themenheft: Implementation of Faceted Vocabularies.
  3. Cooey, N.; Phillips, A.: Library of Congress Subject Headings : a post-coordinated future (2023) 0.11
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    Abstract
    This paper is the result of a request from Library of Congress leadership to assess pre-coordinated versus post-coordinated subject cataloging. It argues that the disadvantages of pre-coordinated subject strings are perennial and continue to hinder progress, while the advantages of post-coordinated subject cataloging have expanded, resulting in new opportunities to serve the needs of catalogers and end users alike. The consequences of retaining pre-coordinated headings will have long-term impacts that heavily out-weigh the short-term challenges of transitioning to new cataloging practices. By implementing post-coordinated, faceted vocabularies, the Library of Congress will be investing in the future of libraries.
    Footnote
    Beitrag in Themenheft: Implementation of Faceted Vocabularies.
  4. Lorenzo, L.; Mak, L.; Smeltekop, N.: FAST Headings in MODS : Michigan State University libraries digital repository case study (2023) 0.11
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    Abstract
    The Michigan State University Libraries (MSUL) digital repository contains numerous collections of openly available material. Since 2016, the digital repository has been using Faceted Application of Subject Terminology (FAST) subject headings as its primary subject vocabulary in order to streamline faceting, display, and search. The MSUL FAST use case presents some challenges that are not addressed by existing MARC-focused FAST tools. This paper will outline the MSUL digital repository team's justification for including FAST headings in the digital repository as well as workflows for adding FAST headings to Metadata Object Description Schema (MODS) metadata, their maintenance, and utilization for discovery.
    Footnote
    Beitrag in Themenheft: Implementation of Faceted Vocabularies.
  5. Wu, M.; Liu, Y.-H.; Brownlee, R.; Zhang, X.: Evaluating utility and automatic classification of subject metadata from Research Data Australia (2021) 0.11
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    Abstract
    In this paper, we present a case study of how well subject metadata (comprising headings from an international classification scheme) has been deployed in a national data catalogue, and how often data seekers use subject metadata when searching for data. Through an analysis of user search behaviour as recorded in search logs, we find evidence that users utilise the subject metadata for data discovery. Since approximately half of the records ingested by the catalogue did not include subject metadata at the time of harvest, we experimented with automatic subject classification approaches in order to enrich these records and to provide additional support for user search and data discovery. Our results show that automatic methods work well for well represented categories of subject metadata, and these categories tend to have features that can distinguish themselves from the other categories. Our findings raise implications for data catalogue providers; they should invest more effort to enhance the quality of data records by providing an adequate description of these records for under-represented subject categories.
  6. Chou, C.; Chu, T.: ¬An analysis of BERT (NLP) for assisted subject indexing for Project Gutenberg (2022) 0.10
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    Abstract
    In light of AI (Artificial Intelligence) and NLP (Natural language processing) technologies, this article examines the feasibility of using AI/NLP models to enhance the subject indexing of digital resources. While BERT (Bidirectional Encoder Representations from Transformers) models are widely used in scholarly communities, the authors assess whether BERT models can be used in machine-assisted indexing in the Project Gutenberg collection, through suggesting Library of Congress subject headings filtered by certain Library of Congress Classification subclass labels. The findings of this study are informative for further research on BERT models to assist with automatic subject indexing for digital library collections.
  7. Bullard, J.; Watson, B.; Purdome, C.: Misrepresentation in the surrogate : author critiques of "Indians of North America" subject headings (2022) 0.09
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    Abstract
    The surrogate record for a book in the library catalog contains subject headings applied on the basis of literary warrant. To assess the extent to which terms like "Indians of North America" are accurate to the content of the items with that label, we invited the items' creators to critique their surrogate records. In interviews with 38 creators we found consensus against the term "Indians of North America" and identified a periphery of related terms that misrepresent the content of the work, are out of alignment with their scholarly communities, and reproduce settler colonial biases in our library systems.
  8. Smith, A.: Physics Subject Headings (PhySH) (2020) 0.09
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    Abstract
    PhySH (Physics Subject Headings) was developed by the American Physical Society and first used in 2016 as a faceted hierarchical controlled vocabulary for physics, with some basic terms from related fields. It was developed mainly for the purpose of associating subjects with papers submitted to and published in the Physical Review family of journals. The scheme is organized at the top level with a two-dimensional classification, with one dimension (labeled "disciplines") representing professional divisions within physics, and the other dimension (labeled "facets") providing a conceptual partitioning of terms. PhySH was preceded in use by PACS ("Physics and Astronomy Classification Scheme"), which was in turn preceded by more ad hoc approaches, and this history and related vocabularies or categorizations will also be briefly discussed.
    Object
    Physics Subject Headings
    Series
    Reviews of concepts in knowledge organization
  9. Rae, A.R.; Mork, J.G.; Demner-Fushman, D.: ¬The National Library of Medicine indexer assignment dataset : a new large-scale dataset for reviewer assignment research (2023) 0.09
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    Abstract
    MEDLINE is the National Library of Medicine's (NLM) journal citation database. It contains over 28 million references to biomedical and life science journal articles, and a key feature of the database is that all articles are indexed with NLM Medical Subject Headings (MeSH). The library employs a team of MeSH indexers, and in recent years they have been asked to index close to 1 million articles per year in order to keep MEDLINE up to date. An important part of the MEDLINE indexing process is the assignment of articles to indexers. High quality and timely indexing is only possible when articles are assigned to indexers with suitable expertise. This article introduces the NLM indexer assignment dataset: a large dataset of 4.2 million indexer article assignments for articles indexed between 2011 and 2019. The dataset is shown to be a valuable testbed for expert matching and assignment algorithms, and indexer article assignment is also found to be useful domain-adaptive pre-training for the closely related task of reviewer assignment.
    Date
    22. 1.2023 18:49:49
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.2, S.205-218
  10. Hahn, J.: Semi-automated methods for BIBFRAME work entity description (2021) 0.09
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    Abstract
    This paper reports an investigation of machine learning methods for the semi-automated creation of a BIBFRAME Work entity description within the RDF linked data editor Sinopia (https://sinopia.io). The automated subject indexing software Annif was configured with the Library of Congress Subject Headings (LCSH) vocabulary from the Linked Data Service at https://id.loc.gov/. The training corpus was comprised of 9.3 million titles and LCSH linked data references from the IvyPlus POD project (https://pod.stanford.edu/) and from Share-VDE (https://wiki.share-vde.org). Semi-automated processes were explored to support and extend, not replace, professional expertise.
    Footnote
    Teil eines Themenheftes: Artificial intelligence (AI) and automated processes for subject sccess
  11. Wlodarczyk, B.: KABA Subject Headings and the National Library of Poland Descriptors in light of Wojciech Wrzosek's theory of historiographical metaphors and different historiographical traditions (2020) 0.09
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    Abstract
    The aims of this article are, first, to provide a necessary background to investigate the discipline of history from the knowledge organization (KO) perspective, and econdly, to present, on selected examples, a way of analyzing knowledge organization systems (KOSs) from the point of view of the theory of history. The study includes a literature review and epistemological analysis. It provides a preliminary analysis of history in two selected universal Polish KOSs: KABA subject headings and the National Library of Poland Descriptors. The research is restricted to the high-level concept of historiographical metaphors coined by Wojciech Wrzosek and how they can be utilized in analyzing KOSs. The analysis of the structure of the KOSs and indexing practices of selected history books is performed. A particular emphasis is placed upon the requirements of classical and non-classical historiography in the context of KO. Although the knowledge about historiographical metaphors given by Wrzosek can be helpful for the analysis and improvement of KOSs, it seems that their broad character can provide the creators only with some general guidelines. Historical research is multidimensional, which is why the general remarks presented in this article need to be supplemented with in-depth theoretical and empirical analyses of historiography.
    Object
    KABA Subject Headings
  12. Moulaison-Sandy, H.; Adkins, D.; Bossaller, J.; Cho, H.: ¬An automated approach to describing fiction : a methodology to use book reviews to identify affect (2021) 0.08
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    Abstract
    Subject headings and genre terms are notoriously difficult to apply, yet are important for fiction. The current project functions as a proof of concept, using a text-mining methodology to identify affective information (emotion and tone) about fiction titles from professional book reviews as a potential first step in automating the subject analysis process. Findings are presented and discussed, comparing results to the range of aboutness and isness information in library cataloging records. The methodology is likewise presented, and how future work might expand on the current project to enhance catalog records through text-mining is explored.
    Footnote
    Teil eines Themenheftes: Artificial intelligence (AI) and automated processes for subject sccess
  13. Peponakis, M.; Mastora, A.; Kapidakis, S.; Doerr, M.: Expressiveness and machine processability of Knowledge Organization Systems (KOS) : an analysis of concepts and relations (2020) 0.08
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    Abstract
    This study considers the expressiveness (that is the expressive power or expressivity) of different types of Knowledge Organization Systems (KOS) and discusses its potential to be machine-processable in the context of the Semantic Web. For this purpose, the theoretical foundations of KOS are reviewed based on conceptualizations introduced by the Functional Requirements for Subject Authority Data (FRSAD) and the Simple Knowledge Organization System (SKOS); natural language processing techniques are also implemented. Applying a comparative analysis, the dataset comprises a thesaurus (Eurovoc), a subject headings system (LCSH) and a classification scheme (DDC). These are compared with an ontology (CIDOC-CRM) by focusing on how they define and handle concepts and relations. It was observed that LCSH and DDC focus on the formalism of character strings (nomens) rather than on the modelling of semantics; their definition of what constitutes a concept is quite fuzzy, and they comprise a large number of complex concepts. By contrast, thesauri have a coherent definition of what constitutes a concept, and apply a systematic approach to the modelling of relations. Ontologies explicitly define diverse types of relations, and are by their nature machine-processable. The paper concludes that the potential of both the expressiveness and machine processability of each KOS is extensively regulated by its structural rules. It is harder to represent subject headings and classification schemes as semantic networks with nodes and arcs, while thesauri are more suitable for such a representation. In addition, a paradigm shift is revealed which focuses on the modelling of relations between concepts, rather than the concepts themselves.
  14. Smith, C.: Controlled vocabularies : past, present and future of subject access (2021) 0.08
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    Abstract
    Controlled vocabularies are a foundational concept in library science and provide a framework for consistency in cataloging practices. Subject headings provide valuable access points to library resources during search and discovery for patrons. Many librarians will be familiar with the more widely used controlled vocabularies, like those maintained by national libraries or major professional organizations. More recently, there has been an increasing shift toward specialized vocabularies maintained by independent entities intended for much narrower use. While there is valid criticism of the nature or content of controlled vocabularies, they will likely continue to be an important feature in information organization.
  15. Lee, T.; Dupont, S.; Bullard, J.: Comparing the cataloguing of indigenous scholarships : first steps and finding (2021) 0.08
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    Abstract
    This paper provides an analysis of data collected on the continued prevalence of outdated, marginalizing terms in contemporary cataloguing practices, stemming from the Library of Congress Subject Heading term "Indians" and all its related terms. Using Manitoba Archival Information Network's (MAIN) list of current LCSH and recommended alternatives as a foundation, we built a dataset from titles published in the last five years. We show a wide distribution of LCSH used to catalogue fiction and non-fiction, with outdated but recognized terms like "Indians of North America-History" appearing the most frequently and ambiguous and offensive terms like "Indian gays" appearing throughout the dataset. We discuss two primary problems with the continued use of current LCSH terms: their ambiguity limits the effectiveness of an institution's catalog, and they do not reflect the way Indigenous Peoples, Nations, and communities in North America prefer to represent themselves as individuals and collectives. These findings support those of parallel scholarship on knowl­edge organization practices for works on Indigenous topics and provide a foundation for further work.
  16. Ahmed, M.; Mukhopadhyay, M.; Mukhopadhyay, P.: Automated knowledge organization : AI ML based subject indexing system for libraries (2023) 0.07
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    Abstract
    The research study as reported here is an attempt to explore the possibilities of an AI/ML-based semi-automated indexing system in a library setup to handle large volumes of documents. It uses the Python virtual environment to install and configure an open source AI environment (named Annif) to feed the LOD (Linked Open Data) dataset of Library of Congress Subject Headings (LCSH) as a standard KOS (Knowledge Organisation System). The framework deployed the Turtle format of LCSH after cleaning the file with Skosify, applied an array of backend algorithms (namely TF-IDF, Omikuji, and NN-Ensemble) to measure relative performance, and selected Snowball as an analyser. The training of Annif was conducted with a large set of bibliographic records populated with subject descriptors (MARC tag 650$a) and indexed by trained LIS professionals. The training dataset is first treated with MarcEdit to export it in a format suitable for OpenRefine, and then in OpenRefine it undergoes many steps to produce a bibliographic record set suitable to train Annif. The framework, after training, has been tested with a bibliographic dataset to measure indexing efficiencies, and finally, the automated indexing framework is integrated with data wrangling software (OpenRefine) to produce suggested headings on a mass scale. The entire framework is based on open-source software, open datasets, and open standards.
    Source
    DESIDOC journal of library and information technology. 43(2023) no.1, S.45-54
  17. Asubiaro, T.V.; Onaolapo, S.: ¬A comparative study of the coverage of African journals in Web of Science, Scopus, and CrossRef (2023) 0.07
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    Abstract
    This is the first study that evaluated the coverage of journals from Africa in Web of Science, Scopus, and CrossRef. A list of active journals published in each of the 55 African countries was compiled from Ulrich's periodicals directory and African Journals Online (AJOL) website. Journal master lists for Web of Science, Scopus, and CrossRef were searched for the African journals. A total of 2,229 unique active African journals were identified from Ulrich (N = 2,117, 95.0%) and AJOL (N = 243, 10.9%) after removing duplicates. The volume of African journals in Web of Science and Scopus databases is 7.4% (N = 166) and 7.8% (N = 174), respectively, compared to the 45.6% (N = 1,017) covered in CrossRef. While making up only 17.% of all the African journals, South African journals had the best coverage in the two most authoritative databases, accounting for 73.5% and 62.1% of all the African journals in Web of Science and Scopus, respectively. In contrast, Nigeria published 44.5% of all the African journals. The distribution of the African journals is biased in favor of Medical, Life and Health Sciences and Humanities and the Arts in the three databases. The low representation of African journals in CrossRef, a free indexing infrastructure that could be harnessed for building an African-centric research indexing database, is concerning.
    Date
    22. 6.2023 14:09:06
    Object
    Web of Science
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.7, S.745-758
  18. Dobreski, B.; Snow, K.; Moulaison-Sandy, H.: On overlap and otherness : a comparison of three vocabularies' approaches to LGBTQ+ identity (2022) 0.07
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    Abstract
    Bibliographic records can include information from controlled vocabularies to capture identities about individuals, especially about authors or intended audiences; personal name authority records can also contain information about identity. Employing a systematic analysis of the overlap of the Homosaurus, Library of Congress Subject Headings (LCSH), and Library of Congress Demographic Group Terms (LCDGT), this article explores the extent to which LGBTQ+ identities are represented in the three vocabularies. Despite LCSH's long, iterative history of development and the faceted, post-coordinate nature of LCDGT, neither vocabulary was found to be adequate in covering the complex, LGBTQ+ identities represented in the Homosaurus.
  19. Hobert, A.; Jahn, N.; Mayr, P.; Schmidt, B.; Taubert, N.: Open access uptake in Germany 2010-2018 : adoption in a diverse research landscape (2021) 0.06
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    Abstract
    Es handelt sich um eine bibliometrische Untersuchung der Entwicklung der Open-Access-Verfügbarkeit wissenschaftlicher Zeitschriftenartikel in Deutschland, die im Zeitraum 2010-18 erschienen und im Web of Science indexiert sind. Ein besonderes Augenmerk der Analyse lag auf der Frage, ob und inwiefern sich die Open-Access-Profile der Universitäten und außeruniversitären Wissenschaftseinrichtungen in Deutschland voneinander unterscheiden.
    Content
    This study investigates the development of open access (OA) to journal articles from authors affiliated with German universities and non-university research institutions in the period 2010-2018. Beyond determining the overall share of openly available articles, a systematic classification of distinct categories of OA publishing allowed us to identify different patterns of adoption of OA. Taking into account the particularities of the German research landscape, variations in terms of productivity, OA uptake and approaches to OA are examined at the meso-level and possible explanations are discussed. The development of the OA uptake is analysed for the different research sectors in Germany (universities, non-university research institutes of the Helmholtz Association, Fraunhofer Society, Max Planck Society, Leibniz Association, and government research agencies). Combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 3.0 list, and OpenDOAR), the study confirms the growth of the OA share mirroring the international trend reported in related studies. We found that 45% of all considered articles during the observed period were openly available at the time of analysis. Our findings show that subject-specific repositories are the most prevalent type of OA. However, the percentages for publication in fully OA journals and OA via institutional repositories show similarly steep increases. Enabling data-driven decision-making regarding the implementation of OA in Germany at the institutional level, the results of this study furthermore can serve as a baseline to assess the impact recent transformative agreements with major publishers will likely have on scholarly communication.
  20. Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023) 0.06
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    Abstract
    Journal lists are instruments to categorize, compare, and assess research and scholarly publications. Our study investigates the remarkable proliferation of such journal lists in China, analyses their underlying values, quality criteria and ranking principles, and specifies how concerns specific to the Chinese research policy and publishing system inform these lists. Discouraged lists of "bad journals" reflect concerns over inferior research publications, but also the involved drain on public resources. Endorsed lists of "good journals" are based on criteria valued in research policy, reflecting the distinctive administrative logic of state-led Chinese research and publishing policy, ascribing worth to scientific journals for its specific national and institutional needs. In this regard, the criteria used for journal list construction are contextual and reflect the challenges of public resource allocation in a market-led publication system. Chinese journal lists therefore reflect research policy changes, such as a shift away from output-dominated research evaluation, the specific concerns about research misconduct, and balancing national research needs against international standards, resulting in distinctly Chinese quality criteria. However, contrasting concerns and inaccuracies lead to contradictions in the "qualify" and "disqualify" binary logic and demonstrate inherent tensions and limitations in journal lists as policy tools.
    Date
    22. 9.2023 16:39:23
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1207-1228

Languages

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  • sp 1
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  • a 823
  • el 97
  • m 23
  • p 13
  • x 4
  • s 3
  • A 1
  • EL 1
  • r 1
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